| Title |
Deviant Cyber-Sexual Activities in Young Adults: Exploring Prevalence and Predictions Using In-Person Sexual Activities and Social Learning Theory
|
|---|---|
| Published in |
Archives of Sexual Behavior, July 2018
|
| DOI | 10.1007/s10508-018-1251-2 |
| Pubmed ID | |
| Authors |
Jennifer L. Klein, Danielle Tolson Cooper |
| Abstract |
Technology has shifted some human interactions to the virtual world. For many young adults, sexual encounters now occur through virtual means, as social media, picture exchanges, sexually explicit Web sites, and video chatting have become popular alternative outlets for these activities to occur. This study used the self-report responses of 812 undergraduate students (282 men and 530 women), collected from an online survey. In addition to using 10 personal demographic control variables, this study used five sexual activity/relationship characteristics (number of sexual partners, relationship status, age to first use pornography, frequency of sexual activity/intercourse, and frequency of masturbation), and the four constructs of Akers' social learning theory (identified as differential association, differential reinforcement, imitation/modeling, and definitions favorable) to predict a seven-item count of deviant cyber-sexual activities, and two measures of "sexting" behaviors. Gender, self-esteem, sexual orientation, race, and religion were strongly significant predictors in the models, but Akers' four elements of social learning performed the strongest in predicting the two measures of sexting and the overall deviant cyber-sexual activities scale. This finding indicates that peer associations and peer reinforcements have a strong influence on individuals' willingness to engage in deviant cyber-sexual activities. This study explored different avenues for young adults' engagement in sexual deviancy and the results suggest that sexual behaviors performed in-person may not be the strongest predictors of online sexual behavior. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 152 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 11% |
| Student > Bachelor | 15 | 10% |
| Student > Doctoral Student | 12 | 8% |
| Researcher | 11 | 7% |
| Student > Ph. D. Student | 11 | 7% |
| Other | 20 | 13% |
| Unknown | 67 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 30 | 20% |
| Social Sciences | 14 | 9% |
| Nursing and Health Professions | 9 | 6% |
| Computer Science | 9 | 6% |
| Arts and Humanities | 4 | 3% |
| Other | 17 | 11% |
| Unknown | 69 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 February 2020.
All research outputs
#14,884,881
of 23,094,276 outputs
Outputs from Archives of Sexual Behavior
#2,898
of 3,495 outputs
Outputs of similar age
#195,173
of 326,642 outputs
Outputs of similar age from Archives of Sexual Behavior
#49
of 58 outputs
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